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(Big) Data Engineer

Джерело:
djinni.co
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Що робити

  • Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
  • Select, model and optimize analytical databases for high-throughput, low-latency queries.
  • Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
  • Monitor system performance and stability; diagnose and resolve production issues.
  • Collaborate with product managers and engineers to plan and deliver complex features.

Що пропонуємо

  • Production experience with Google BigQuery, including ETL pipelines and analytical workloads.
  • Experience developing backend services in Go or Clojure.
  • Experience contributing to open-source projects or presenting at technical conferences or meetups.
  • An AI mindset, including practical use of tools such as GitHub Copilot, Cursor, ChatGPT, or similar AI-assisted development workflows.

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